#LASER CUTTING OPTIMIZER SOFTWARE#

Focus on projects that are more вЂuniqueвЂ™ and require specific details.Use expensive raw materials, where the reuse of offcuts is important.

The cutting to machining approach is well adapted to businesses that:

#LASER CUTTING OPTIMIZER SOFTWARE#

Therefore, cutting optimizer software would be far more adapted to your manufacturing method than a nesting program. In this case, each individual part will need to be machined separately and cut beforehand. If for example your manufacturing method is organised around dowel or cam assembly, it will be necessary to drill into the edges of your parts. Cutting and machining (using nesting software).Cutting to machining (using cutting optimization software).Globally for the manufacturing of cabinets and furniture, there are two manufacturing methods:

In the case of building cabinets and furniture out of manufactured sheet material, the choice of using 2D cutting software or nesting software will depend on your manufacturing method. Some materials can be cut both ways, this is true for manufacturing products out of wooden sheet materials. The same would be true if you are cutting steel sheets on a CNC plasma cutter. On the other hand, if you are cutting textiles on a laser cutter, the laser will be able to move in all directions, start and stop a cut in the middle of the material and therefore a nesting application would be more appropriate for cutting textiles.

Glass, Textiles and Steel Sheets OptimizationДЇor instance, if you are cutting glass, this material requires that you cut in straight lines that completely cross any given part, so the material itself imposes the use of 2D cutting software. These results are found in good agreements with optimum predicted results as the confirmation experiments as the bottom kerf width and bottom kerf deviation are reduced from 0.3408В mm and 0.0740В mm to 0.33693В mm and 0.06871В mm, respectively.The choice of using cutting optimization software or nesting software will depend on your material, your cutting facilities and the manufacturing process that you are using. Finally, the optimum predicted results have been confirmed by using the experimental data at optimum parameters settings. The statistical analysis shows that these models have been found reliable to predict the different quality characteristics during the process. The experimental data have been used to develop the second-order models of kerf width and kerf deviation. For modeling and optimization, the experiments have been performed by using L 27 orthogonal array. The main objective of this study is to model and optimize the bottom kerf width and bottom kerf deviation in the Nd: YAG laser cutting of titanium alloy gradeвЂ“II. These objectives may be fulfilled by using another class of machining processes called advanced machining process. Such types of applications require the complex profiles and precise cuts with high quality which may not be possible to found by using the conventional cutting methods in these materials. These materials are predominantly used in many latest industries such as aircrafts, marine, chemical, and automobiles. Due to increase in the consumerвЂ™s needs and requirement, the material science engineers are trying to develop the different advanced material, superalloys, and composites.

Laser cutting optimizer